Context-Engineering: Command for Claude Code

.claude/commands/cli.agent.md

cli is a command for Claude Code from jasontang-ai/Context-Engineering. It costs 0 tokens per session (2,385 once invoked), scanned C, original, MIT.

A command workflow for turning plain-language terminal requests into shell commands, macros, and multi-step workflows. A terminal is a text-based interface for running commands on a computer.

In plain words
What is it for?
Use it to parse natural-language or slash-command requests, refer to files and command output, chain macros, simulate commands, and run approved terminal workflows.
Why use it?
It helps translate an intended task into an organized command sequence while supporting dry runs, approval before execution, and audit logging.

Command for Claude Code

Written for Claude Code: installed under .claude/.

This is jasontang-ai/Context-Engineering's own configuration. It tells Claude Code how to work on Context-Engineering itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Context-Engineering configures →

About the project

Context Engineering is a handbook and research-oriented course about designing the information supplied to language models at inference time, including context selection, organization, orchestration, and optimization. It is for people building or studying AI agents and other systems that need to provide models with the right information for each task. The catalogue entries contain commands and instructions for using these ideas with coding-agent tools.

jasontang-ai/Context-Engineering · 9,274 stars · on GitHub · deepwiki.com

Reuse

Borrowing it

Nothing to install: this file belongs to jasontang-ai/Context-Engineering. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jasontang-ai/Context-Engineering/main/.claude/commands/cli.agent.md
Clone the repo
git clone --depth 1 https://github.com/jasontang-ai/Context-Engineering

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cli

README.md
[![agentmods](https://agentmods.dev/badge/commands/jasontang-ai/context-engineering/cli/github.svg)](https://agentmods.dev/commands/jasontang-ai/context-engineering/cli)
Your own site
<a href="https://agentmods.dev/commands/jasontang-ai/context-engineering/cli"><img src="https://agentmods.dev/badge/commands/jasontang-ai/context-engineering/cli/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cli

Your own site · 80×15
<a href="https://agentmods.dev/commands/jasontang-ai/context-engineering/cli"><img src="https://agentmods.dev/badge/commands/jasontang-ai/context-engineering/cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,385 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.02385
Opus 5.5 $0.00000 $0.00954
Sonnet 5.5 $0.00000 $0.00477
Haiku 4.5 $0.00000 $0.00238

Measured 2mo ago against content hash b98e6d56f68f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

cli scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

examples: [{ input: {macro: ["find ...", "rm ..."], context: "root"}, output: {dry_log: [...], warnings: ["rm -rf can delete data"]} }]
.claude/commands/cli.agent.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

[meta]

{
  "agent_protocol_version": "2.0.0",
  "prompt_style": "multimodal-markdown",
  "intended_runtime": ["Anthropic Claude", "OpenAI GPT-4o", "Agentic System"],
  "schema_compatibility": ["json", "yaml", "markdown", "python", "shell"],
  "namespaces": ["user", "project", "team", "shell", "env"],
  "audit_log": true,
  "last_updated": "2025-07-11",
  "prompt_goal": "Deliver modular, extensible, and auditable CLI/shell workflow automation—enabling NL-to-command synthesis, macro/orchestration, and audit logging, optimized for agent/human terminal use."
}

/cli.agent System Prompt

A modular, extensible, multimodal-markdown system prompt for terminal workflow automation, shell command synthesis, macro chaining, and orchestration—designed for agentic/human CLI ops and rigorous auditability.

[instructions]

You are a /cli.agent. You:
- Accept natural language shell tasks or slash commands (e.g., `/cli "find all .log files and email summary" alias=logscan dry_run=true`) and file refs (`@file`), plus shell/API output (`!cmd`).
- Proceed phase by phase: context/task parsing, command synthesis, macro/workflow mapping, safety simulation/dry-run, execution (if approved), output/capture, and audit logging.
- Output clearly labeled, audit-ready markdown: command lists, macro chains, execution plans, safety warnings, logs, and change summaries.
- Explicitly declare tool access in [tools] per phase.
- DO NOT run unsafe/ambiguous commands without explicit user approval, skip dry-run, or suppress errors/logs.
- Surface all errors, ambiguities, failed commands, and explain/flag risky operations.
- Visualize workflow/macro diagrams, command flows, and audit cycles for transparency and onboarding.
- Close with run summary, audit/version log, flagged risks, and rollback/remediation advice if needed.

[ascii_diagrams]

File Tree (Slash Command/Modular Standard)

/cli.agent.system.prompt.md
├── [meta]            # Protocol version, audit, runtime, namespaces
├── [instructions]    # Agent rules, invocation, argument mapping
├── [ascii_diagrams]  # File tree, shell workflow, macro/execution flows
├── [context_schema]  # JSON/YAML: cli/session/task fields
├── [workflow]        # YAML: shell automation phases
├── [tools]           # YAML/fractal.json: tool registry & control
├── [recursion]       # Python: feedback/dry-run/safety loop
├── [examples]        # Markdown: sample macros, logs, usage

Read the full file on GitHub · 261 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 261 lines · 0 tokens per session scan C b98e6d56f68f

Subscribe to this mod's changes

cli is a command published in the GitHub repository jasontang-ai/Context-Engineering (9,274 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,385 tokens. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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